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README.md

@@ -48,22 +48,22 @@ model-index:
 
 ## Best Model
 
-- Overall: `CatBoost/T10`
-- Best base model: `CatBoost/T10`
+- Overall: `CatBoost/T18`
+- Best base model: `CatBoost/T18`
 
 ## Hyperparameters
 
-**Best overall (leaf)**: `CatBoost/T10` (CatBoostModel)
+**Best overall (leaf)**: `CatBoost/T18` (CatBoostModel)
 
 ```json
 {
   "iterations": 10000,
-  "learning_rate": 0.09595709169024079,
+  "learning_rate": 0.13950397023933195,
   "random_seed": 0,
   "allow_writing_files": false,
   "eval_metric": "Accuracy",
   "depth": 7,
-  "l2_leaf_reg": 2.894432181094842
+  "l2_leaf_reg": 3.4522538315365296
 }
 ```
 
@@ -126,11 +126,11 @@ AutoGluon Tabular defaults (type inference, category handling, missing-value pro
 - HPO: `hyperparameter_tune_kwargs='auto'` (AutoGluon scheduler/strategy).
 - Budget: `time_limit=1200` seconds.
 - Seed: **42**.
-- Compute: Google Colab runtime (fill in CPU/GPU details below).
-- Wall-clock: (fill in from your run).
+- Compute: Google Colab, Tesla T4 GPU; RAM ~12.7 GB.
+- Wall-clock: unknown.
 
 ## Hyperparameters & search space
-- Best model: **CatBoost/T10** (CatBoostModel).
+- Best model: **CatBoost/T18** (CatBoostModel).
 - Search space: AutoGluon defaults under `best_quality` with automatic HPO.
 
 ## Metrics (original split)
@@ -152,10 +152,9 @@ Units: fraction (0–1), where 1.0 = 100%.
 
 ## Hardware & compute budget
 - HPO budget: 1200s.
-- Runtime hardware: (CPU/GPU; RAM).
-- Training wall‑clock: (fill in).
-- Peak memory: (optional).
-
+- Runtime hardware: Google Colab; GPU Tesla T4 (15 GB VRAM); CPU x86_64 (2 vCPU); RAM ~12.7 GB.
+- Training wall‑clock: unknown.
+- Peak memory: ~650.0 MB.
 ## AI usage disclosure
 - AutoML & HPO performed by **AutoGluon**.
 - Some documentation/code scaffolding assisted by generative AI (ChatGPT); human‑reviewed.

autogluon_predictor.pkl

@@ -1,3 +1,3 @@
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-size 81373
+oid sha256:ac9d1dd151dc6062adfa4b0ae60e91025426427a3f24a1ed596fdb16df67c8b3
+size 86029

autogluon_predictor_dir.zip

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:cd98fa295f1ee6596671ef62063eb608ce5764eedd0bf3cd106259e291b43a28
-size 14585290
+oid sha256:0505a7371c8820e1b575aa4ab238a383c00da6bda95d38fe049ebf31c331b29e
+size 15551238

hyperparameters.json

@@ -1,16 +1,16 @@
 {
-  "best_overall": "CatBoost/T10",
-  "best_overall_leaf": "CatBoost/T10",
+  "best_overall": "CatBoost/T18",
+  "best_overall_leaf": "CatBoost/T18",
   "best_overall_class": "CatBoostModel",
   "params": {
     "iterations": 10000,
-    "learning_rate": 0.09595709169024079,
+    "learning_rate": 0.13950397023933195,
     "random_seed": 0,
     "allow_writing_files": false,
     "eval_metric": "Accuracy",
     "depth": 7,
-    "l2_leaf_reg": 2.894432181094842
+    "l2_leaf_reg": 3.4522538315365296
   },
-  "tree_count_": 6,
-  "best_iteration": 5
+  "tree_count_": 49,
+  "best_iteration": 48
 }